Xiaotian Dai
Assistant Professor
Mathematics

Office
STV Stevenson Hall 313
Office Phone
Email
- About
- Awards & Honors
- Research
Current Courses
499.004Independent Research For The Master's Thesis
453.001Regression Analysis
Research Interests & Areas
My research interests are in developing new statistical methods for high-throughput and complex genomic, transcriptomic, and epidemiologic data. I have been broadly interested in Bayesian statistical methods, high-dimensional data variable selection, functional data analysis, and other statistics/biostatistics areas.
IMS New Researcher Travel Award
Institute of Mathematical Statistics
2024
Journal Article
Dai, X., Acosta, N., Lu, X., et al (2024). A Bayesian framework for modeling COVID-19 case numbers through longitudinal monitoring of SARS-CoV-2 RNA in wastewater. Statistics in Medicine, 43(6): 1153-1169.
Dai, X., Lu, X., & Chekouo, T. (2023). A Bayesian genomic selection approach incorporating prior feature ordering and population structures with application to coronary artery disease.
Statistical Methods in Medical Research, 32(8): 1616-1629.
Statistical Methods in Medical Research, 32(8): 1616-1629.
Grants & Contracts
Advancing Predictive Models with SDOH Integration in Healthcare. Connected Communities Initiative (OSF HealthCare and ISU). Local. (2024)